India
Not disclosed
Remote
Not specified
We are looking for a part-time Computer Vision Engineer to support the deployment of advanced AI solutions on edge devices . The role involves real-time anomaly detection (weapons, fire, theft and aggressive behaviors) using feeds from IP cameras, tailored for secure and responsive environments such as retail , banking or public safety. 🔧 Key Responsibilities Implement AI-enabled real-time detection of anomalies, weapons, fire, and behavioral patterns Deploy computer vision models on edge devices based on the number of IP cameras at the site Assist in planning and selecting the appropriate edge hardware for each deployment Participate in client review sessions to discuss deployment strategies and performance Perform hands-on deployment and testing of solutions on-site or remotely as required ✅ Qualifications Strong experience with Python, computer vision models and edge device integration (e.g., NVIDIA Jetson, Coral, etc.) Hands-on experience with OpenCV , YOLO , TensorFlow Lite , or similar frameworks Familiarity with real-time video processing and anomaly detection techniques Ability to translate model output into actionable event detection Strong communication skills and ability to interface with clients Previous experience with IP camera integrations is a plus Show more Show less
India
None Not disclosed
Remote
Not specified
We're Hiring: AI & Automation Intern Are you passionate about building real-world solutions using OpenAI, LLMs, LangChain, and automation tools ? We’re looking for an Intern to join our team and help us build cutting-edge automation solutions powered by AI. You’ll work on intelligent agents, RAG pipelines, API integrations (Twilio, Google Calendar, ElevenLabs, etc.), and more. 🔧 What We’re Looking For: ✅ Hands-on experience with OpenAI APIs & LLMs ✅ Experience with LangChain / prompt engineering / vector DBs ✅ Python and JavaScript proficiency ✅ Previous projects or GitHub work using AI tools (must!) Bonus: Voice automation, RAG pipelines, or agent-based systems? We want to see it! 💡 What You’ll Get: Real ownership on live projects Remote work & flexible hours Mentorship & exposure to premium tools Fast, no-fluff learning environment Stipend: Competitive (based on skills and performance) Duration: 3–6 Months (with potential to extend or convert to full-time) Start Date: Immediate
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